Open access Journal SINTA 1
Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta: Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta
Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta: Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta
Amerta Nutrition · Vol. 9 No. 1SP (2025) · pp. 388–395
- ISSN
- 2580-9776, 2580-1163
- Published
- 2025-12-31
- Publisher
- Universitas Airlangga
- Language
- eng
Abstract
English
Background: Accurate nutritional status assessment is essential for designing appropriate dietary recommendations. Conventional body composition analysis tools are often expensive and less accessible. Therefore, the development of modified body fat scales integrated with dietary recommendation features may provide a practical alternative. Objectives: This study aims to implement an integrated dietary recommendation system into body fat scales for students at Muhammadiyah University of PKU Surakarta and to evaluate the measurement accuracy compared to standard devices. Methods: This comparative experimental study involved 60 samples. Measurements included Body Weight (BW), Height (H), Body Mass Index (BMI), body fat percentage, bone density, body fluid, and muscle mass. Data were analyzed using independent sample t-tests and the Mann-Whitney test to compare results between the modified scales and standard (calibrated) scales. Results: The findings indicate no significant differences in body weight, height, and BMI between the modified scales and standard scales (p-value>0.05). However, there were significant differences in body fat percentage (p-value=0.008), bone density (p-value<0.001), body water content (p-value<0.001), and muscle mass (p-value<0.001). Despite these variations, the integrated system successfully provided tailored dietary recommendations based on BMI and body fat analysis. Conclusions: The body fat scale with integrated dietary recommendation features is accurate for assessing basic parameters such as body weight, height, and BMI, while also offering added value through dietary recommendations. Nevertheless, further refinement is necessary to enhance the accuracy of body composition measurements prior to large-scale application.
Indonesian
Latar Belakang: Penilaian status gizi yang akurat sangat penting untuk merancang rekomendasi diet yang tepat. Alat analisis komposisi tubuh konvensional seringkali mahal dan kurang terjangkau. Oleh karena itu, pengembangan timbangan lemak tubuh termodifikasi yang terintegrasi dengan fitur rekomendasi diet dapat memberikan alternatif yang praktis. Tujuan: Penelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi diet yang terintegrasi ke dalam timbangan lemak tubuh pada mahasiswa Universitas Muhammadiyah PKU Surakarta dan mengevaluasi akurasi pengukurannya dibandingkan dengan perangkat standar. Metode: Penelitian komparatif eksperimental ini melibatkan 60 sampel. Pengukuran meliputi Berat Badan (BB), Tinggi Badan (TB), Indeks Massa Tubuh (IMT), persentase lemak tubuh, kepadatan tulang, cairan tubuh, dan massa otot. Data dianalisis menggunakan uji-T sampel independen, dan uji Mann-Whitney untuk membandingkan hasil antara timbangan termodifikasi dan timbangan standar (terkalibrasi). Hasil: Hasil penelitian menunjukkan tidak ada perbedaan signifikan pada berat badan, tinggi badan, dan IMT antara timbangan termodifikasi dan timbangan standar (p-value>0,05). Namun, terdapat perbedaan signifikan pada persentase lemak tubuh (p-value=0,008), kepadatan tulang (p-value<0,001), kadar air dalam tubuh (p-value<0,001), dan massa otot (p-value<0,001). Meskipun terdapat variasi ini, sistem terintegrasi ini berhasil memberikan rekomendasi diet yang disesuaikan berdasarkan analisis IMT dan lemak tubuh. Kesimpulan: Lemak tubuh dengan fitur rekomendasi diet terintegrasi ini akurat untuk menilai parameter dasar seperti berat badan, tinggi badan, dan IMT serta menawarkan nilai tambah rekomendasi diet. Namun demikian, penyempurnaan lebih lanjut diperlukan untuk meningkatkan akurasi pengukuran komposisi tubuh sebelum aplikasi skala besar.
Keywords
Collaboration network of the authors
40 authors · 105 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- National Research and Innovation Agency
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Riris Istighfari Jenie | Affiliation unknown | 6 |
| Mohamad Syaefudin | Affiliation unknown | 4 |
| Diah Vitri Widayanti | Affiliation unknown | 4 |
| Ratna Asmah Susidarti | Affiliation unknown | 4 |
| Neli Purwani | Affiliation unknown | 3 |
| Edy Meiyanto | Affiliation unknown | 3 |
| Zalinar Udin | Affiliation unknown | 3 |
| Omar Tanane | Affiliation unknown | 3 |
| Nishith Shahu | Affiliation unknown | 3 |
| Dwi Astuti | Affiliation unknown | 2 |
| Tri Eko Agustiningrum | Affiliation unknown | 2 |
| Sudarwoto Sudarwoto | Affiliation unknown | 2 |
| Nurul Yuhanafia | Affiliation unknown | 2 |
| Virgiawan Adi Kristianto | Affiliation unknown | 2 |
| Cici Darsih | Affiliation unknown | 2 |
| Agung Setya Wardana | Affiliation unknown | 2 |
| Aan Kurniawan | National Research and Innovation Agency | 2 |
| Syarifah Nuraini | Affiliation unknown | 2 |
| Andino Maseleno | Affiliation unknown | 2 |
| Ani Budi Astuti | University of Brawijaya | 1 |
| Suci Astutik | University of Brawijaya | 1 |
| Nur Silviyah Rahmi | University of Brawijaya | 1 |
| Alifiandi Rafi Muhammad | University of Brawijaya | 1 |
| Ulfah Maisaroh | University of Brawijaya | 1 |
| Kismi Mubarokah | Affiliation unknown | 1 |
| Harianingsih Harianingsih | Affiliation unknown | 1 |
| Maharani Kusumaningrum | Affiliation unknown | 1 |
| Vera Noviana Sulistyawan | Affiliation unknown | 1 |
| Savira Rinda Erliana | Affiliation unknown | 1 |
| Isnina Noor Ubay | Affiliation unknown | 1 |
| Indra Sakti Pangestu | Affiliation unknown | 1 |
| Nur Qudus | Affiliation unknown | 1 |
| Nelly Setyowati Anggraeni | Affiliation unknown | 1 |
| Ade Novi Nurul Ihsani | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.